Tag: Data Modeler Role

Data Modeling standardization has been in practice for many years and the following section highlight the needs and implementation of the data modeling standards.

Standardization Needs | Modeling data:

Several data modelers may work on the different subject areas of a data model and all data modelers should use the same naming convention, writing definitions and business rules.

Nowadays, business to business transactions (B2B) are quite common, and standardization helps in understanding the business in a better way. Inconsistency across column names and definition would create a chaos across the business.

For example, when a data warehouse is designed, it may get data from several source systems and each source may have its own names, data types etc. These anomalies can be eliminated if a proper standardization is maintained across the organization.

Table Names Standardization:

Giving a full name to the tables, will give an idea about data what it is about. Generally, do not abbreviate the table names; however this may differ according to organization’s standards. If the table name’s length exceeds the database standards, then try to abbreviate the table names. Some general guidelines are listed below that may be used as a prefix or suffix for the table.

Data Modeler Role:

Data Modelers fall into two major categories of Logical or Physical Data Modelers depending upon the role they play in developing Logical or Physical data models. Based on organization needs, data modelers only do logical data modeling or physical data modeling or combination of both. Nowadays, organizations prefer to hire data modelers, who can do logical as well as physical data modeling efficiently. Logical data modelers interact with stake holders, business analysts, smart management experts (SME) and developers.
Physical data modelers interact with logical data modelers and the database team.